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Gary L. Kenaley

dblp:181/3100 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1989
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Robot manipulation · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Robotics › Robot manipulation
grasping
0.011989
Electrorheological fluid-based robotic fingers with tactile sensing · ICRA 1989
Robotics › Robot manipulation
tactile sensing
0.011989
Electrorheological fluid-based robotic fingers with tactile sensing · ICRA 1989
Robotics › Robot manipulation › grasping › gripper design
dexterous gripper design
0.011989
Electrorheological fluid-based robotic fingers with tactile sensing · ICRA 1989

Methods — techniques the papers use, named apart from their topics

electrorheological fluid actuation · 0.0capacitance sensing · 0.0
YearPublicationVenuePosition
1989 Electrorheological fluid-based robotic fingers with tactile sensing
abstract
Prototype fingertips using electrorheological (ER) fluids with elementary tactile sensing were fabricated and tested. The fingertips consist of a layer of ER fluid sandwiched between a grounded elastomer skin and a positively charged electrode. This arrangement forms a capacitor whose value increases as the elastomer is deflected toward the positive electrode. The ER fingertips can be put on a robot gripper or the fingers of a dextrous robot hand. The fluid layer acts as a soft conformal pad when the voltage is turned off. When energized, the fluid changes from a Newtonian fluid to a Bingham plastic with a yield stress of a few kPa. The result is a finger with simple tactile sensing and the ability to generate large lifting forces with small grasp forces, due to interlocking between the deformed skin/solidified fluid and the gripped object. A gripper with ER fingertips was able to grip a raw egg gently using capacitance sensing. The authors examine the improved lifting force available with ER fingertips over passive designs. The design of a multielement fingertip for shape sensing is investigated and recommendations are offered for designing practical ER robotic hands.>
Gary L. Kenaley, Mark R. Cutkosky
ICRA1